Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

System harmonic probability evaluating method based on Markov chain Monte Carlo method

A technology of Markov chain and harmonic probability, applied in harmonic reduction devices, AC networks to reduce harmonics/ripples, etc., can solve problems such as incomplete objective response to harmonic characteristics

Inactive Publication Date: 2015-09-02
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +2
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above-mentioned methods rely too much on historical measurement data and empirical judgment results, and do not fully objectively reflect the harmonic characteristics in today's distribution network containing distributed power sources and various nonlinear loads.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • System harmonic probability evaluating method based on Markov chain Monte Carlo method
  • System harmonic probability evaluating method based on Markov chain Monte Carlo method
  • System harmonic probability evaluating method based on Markov chain Monte Carlo method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0087] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0088] Such as figure 1 As shown, the present invention discloses a system harmonic probability evaluation method based on the Markov chain-Monte Carlo method, which specifically includes the following steps:

[0089] Step 1: The h-order harmonic current model generated by individual harmonics with a total number of m in a certain type of comprehensive load is:

[0090] I h ( A G G ) = df h · Σ i = 1 m ( A ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a system harmonic probability evaluating method based on a Markov chain Monte Carlo method. The system harmonic probability evaluating method comprises the steps of: s1, establishing an h-time harmonic current model generated by individual harmonic with total number of m in a certain class composite load and a general current model of the h-time harmonic of the certain class composite load injected into a PCC point; s2, analyzing uncertain parameters of the current model according to a Bayes formula in a classical theory of statistics, acquiring more objective and accurate unknown quantity posteriori distribution after adjustment through derivation and combining with rough prior distribution of the uncertain parameters; s3, acquiring the Markov chain Monte Carlo method; and s4, arriving at a probability statistics characteristic value and a probability density curve of percentage of each harmonic current according to the Markov chain Monte Carlo method. The results obtained by adopting the system harmonic probability evaluating method based on the Markov chain Monte Carlo method are more comprehensive, more objective and more similar to the actual condition of a power distribution network.

Description

technical field [0001] The invention relates to the field of power quality of distributed power generation in power system distribution network, in particular to a system harmonic probability evaluation method based on the Markov chain-Monte Carlo method. Background technique [0002] At present, energy is an important material basis for human survival and development. In recent decades, human consumption of energy, especially electric energy, has reached an unprecedented level. The traditional large-scale centralized power supply model is gradually unable to meet people's needs. As a power generation technology based on renewable energy, distributed power generation is clean and pollution-free, and can fully and efficiently utilize decentralized resources, so it has broad application prospects. In 2011, my country's grid-connected new energy power generation capacity was 93.355 billion kWh, accounting for about 2% of the total power generation. [0003] With the rapid deve...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/01
CPCY02E40/40
Inventor 刘书铭代双寅李琼林张博唐钰政李庚银周明张喆索之闻
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com